Review Publications

The ability of single-cell genomics to resolve cellular heterogeneity is highly appreciated in cancer and is being exploited for precision medicine. In the recent decade, we have witnessed the incorporation of cancer genomics into the clinical decision-making process for molecular-targeted ...

Droplet-based single-cell RNA sequencing (scRNA-Seq) has moved rapidly from a technology with great potential to a method applied to ever-broader questions. The detailed information that scRNA-Seq..

Researchers from the Helmholtz Center Munich discuss the current state of RNA velocity modeling approaches, discuss various examples illustrating limitations and potential pitfalls, and provide...

Recent years have seen a revolution in single-cell technologies, particularly single-cell RNA-sequencing (scRNA-seq). As the number, size and complexity...

Deciphering the principles and mechanisms by which gene activity orchestrates complex cellular arrangements in multicellular organisms has far-reaching implications for research in the life...

In a review article published in the briefing in bioinformatics, researchers from various organizations comprehend the emerging bulk RNA-Seq-based analyses and highlight the power of bulk RNA-Seq in providing biological insights. Significant innovations in next-generation sequencing techniques and bioinformatics tools ...

In addition to four nucleotides in mRNA modified nucleotides are an essential addition to the standard genetic code in eukaryotes and prokaryotes. Epitranscriptomics has emerged as a new field to study nucleotide modifications in mRNA and examine their impact on ...

Single-cell RNA sequencing (scRNA-seq) identifies cell subpopulations within tissue but does not capture their spatial distribution nor reveal local...

The rapid progress of protocols for sequencing single-cell transcriptomes over the past decade has been accompanied by equally impressive advances...

Although RNA sequencing (RNA-seq) has become the most advanced technology for transcriptome analysis, it also confronts various challenges. As we all know, the workflow of RNA-seq is extremely complicated and it is easy to produce bias. This may damage the ...